Proceedings of the VLDB Endowment 2023 — papers
The works of Proceedings of the VLDB Endowment published in 2023 that our library holds (publisher: Association for Computing Machinery): 2 works, listed below with the most cited first; each has a page with our summary, its key points and its references.
Most cited papers
- PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel ↗Yanli Zhao, Andrew Gu, Rohan Varma et al.220 citations
- ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection ↗Yuhang Chen, Chaoyun Zhang, Minghua Ma et al.138 citations
- How Large Language Models Will Disrupt Data Management ↗Raul Castro Fernandez, Aaron J. Elmore, Michael J. M. Franklin et al.115 citations
- Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces ↗Xi Zhao, Yao Tian, Kai Huang et al.94 citations
- Lero: A Learning-to-Rank Query Optimizer ↗Rong Zhu, Wei Chen, Bolin Ding et al.88 citations
- Semantics-Aware Dataset Discovery from Data Lakes with Contextualized Column-Based Representation Learning ↗Grace Fan, Jin Wang, Yuliang Li et al.83 citations
- FederatedScope: A Flexible Federated Learning Platform for Heterogeneity ↗Yuexiang Xie, Zhen Wang, Dawei Gao et al.82 citations
- Robust Query Driven Cardinality Estimation under Changing Workloads ↗Parimarjan Negi, Zi‐Niu Wu, Andreas Kipf et al.79 citations
- Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data LakesSimran Arora, Brandon Yang, Sabri Eyuboglu et al.74 citations · our summary
- Learned Index: A Comprehensive Experimental Evaluation ↗Zhaoyan Sun, Xuanhe Zhou, Guoliang Li72 citations
All works of the year (374)
- PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel ↗Yanli Zhao, Andrew Gu, Rohan Varma et al.220 citations
- ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection ↗Yuhang Chen, Chaoyun Zhang, Minghua Ma et al.138 citations
- How Large Language Models Will Disrupt Data Management ↗Raul Castro Fernandez, Aaron J. Elmore, Michael J. M. Franklin et al.115 citations
- Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces ↗Xi Zhao, Yao Tian, Kai Huang et al.94 citations
- Lero: A Learning-to-Rank Query Optimizer ↗Rong Zhu, Wei Chen, Bolin Ding et al.88 citations
- Semantics-Aware Dataset Discovery from Data Lakes with Contextualized Column-Based Representation Learning ↗Grace Fan, Jin Wang, Yuliang Li et al.83 citations
- FederatedScope: A Flexible Federated Learning Platform for Heterogeneity ↗Yuexiang Xie, Zhen Wang, Dawei Gao et al.82 citations
- Robust Query Driven Cardinality Estimation under Changing Workloads ↗Parimarjan Negi, Zi‐Niu Wu, Andreas Kipf et al.79 citations
- Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data LakesSimran Arora, Brandon Yang, Sabri Eyuboglu et al.74 citations · our summary
- Learned Index: A Comprehensive Experimental Evaluation ↗Zhaoyan Sun, Xuanhe Zhou, Guoliang Li72 citations
- LDPTrace: Locally Differentially Private Trajectory Synthesis ↗Yuntao Du, Yujia Hu, Zhikun Zhang et al.71 citations
- GriDB: Scaling Blockchain Database via Sharding and Off-Chain Cross-Shard Mechanism ↗Zicong Hong, Song Guo, Enyuan Zhou et al.69 citations
- Multiple Time Series Forecasting with Dynamic Graph Modeling ↗Kai Zhao, Chenjuan Guo, Yunyao Cheng et al.69 citations
- What Modern NVMe Storage Can Do, and How to Exploit it: High-Performance I/O for High-Performance Storage Engines ↗Gabriel Haas, Viktor Leis69 citations
- Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank ↗Yiming Li, Yanyan Shen, Lei Chen et al.65 citations
- DeepJoin: Joinable Table Discovery with Pre-Trained Language Models ↗Yuyang Dong, Chuan Xiao, Takuma Nozawa et al.63 citations
- ELPIS: Graph-Based Similarity Search for Scalable Data Science ↗Ilias Azizi, Karima Echihabi, Themis Palpanas58 citations
- CatSQL : Towards Real World Natural Language to SQL Applications ↗Han Fu, Chang Liu, Bin Wu et al.57 citations
- LOGER: A Learned Optimizer Towards Generating Efficient and Robust Query Execution Plans ↗Tianyi Chen, Jun Gao, Hedui Chen et al.53 citations
- Pre-Trained Embeddings for Entity Resolution: An Experimental Analysis ↗Alexandros Zeakis, George Papadakis, Dimitrios Skoutas et al.53 citations
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity ↗Haojun Xia, Zheng Zhen, Yuchao Li et al.52 citations
- LEON: A New Framework for ML-Aided Query Optimization ↗Chen Xu, Haitian Chen, Zibo Liang et al.50 citations
- MagicScaler: Uncertainty-Aware, Predictive Autoscaling ↗Zhicheng Pan, Yihang Wang, Yingying Zhang et al.49 citations
- An Empirical Evaluation of Columnar Storage Formats ↗Xinyu Zeng, Yulong Hui, Jiahong Shen et al.48 citations
- AutoSteer: Learned Query Optimization for Any SQL Database ↗Christoph Anneser, Nesime Tatbul, David Cohen et al.48 citations
See all 374 papers in Proceedings of the VLDB Endowment 2023 — papers →
Works with our summary in our library (2)
- Text-to-SQL Empowered by Large Language Models: A Benchmark EvaluationProceedings of the VLDB EndowmentDawei Gao, Haibin Wang, Yaliang Li, et al.2023 · 463 citations
- Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data LakesProceedings of the VLDB EndowmentSimran Arora, Brandon Yang, Sabri Eyuboglu, et al.2023 · 94 citations
Top topics
Language models & pretraining (2)Evaluation & benchmarks (1)Code & programming languages (1)Semantic parsing & meaning representation (1)
Fields
Arts and Humanities (2)Computer Science (2)
Top authors
🧑🔬Bolin Ding1 work here · 463 citations🧑🔬Jingren Zhou1 work here · 463 citations🧑🔬Yaliang Li1 work here · 463 citations🧑🔬Andrew Hojel1 work here · 94 citations🧑🔬Avanika Narayan1 work here · 94 citations🧑🔬Christopher Ré1 work here · 94 citations🧑🔬Sabri Eyuboglu1 work here · 94 citations🧑🔬Simran Arora1 work here · 94 citations
Top institutions
🎓Cornell UniversityIthaca ·
United States1 work here🏢Alibaba GroupHangzhou ·
China1 work here🎓Stanford UniversityStanford ·
United States1 work here
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